Faculty Advisor

Agu, Emmanuel O.

Center

Boston, Massachusetts

Sponsor

Microsoft

Abstract

Fake news is increasingly pervasive, and we address its problematic aspects to help people intelligently consume news. In this project, we research machine learning models to extract objective sentences, encouraging unbiased discussions based on facts. The most accurate model, a convolutional neural network, achieves an accuracy of 85.69%. The team implemented an end-to-end web system that highlights objective sentences in user input to make our model publicly accessible. The system also provides additional information about user input, such as links to related web pages. We evaluate our system both qualitatively by interviewing users, and quantitatively with surveys consisting of rating scale questions. Received positive feedback indicates the usability of our platform.

Publisher

Worcester Polytechnic Institute

Date Accepted

January 2018

Major

Computer Science

Project Type

Major Qualifying Project

Additional files

Copyright Statement

All authors have granted to WPI a nonexclusive royalty-free license to distribute copies of the work, subject to other agreements. Copyright is held by the author or authors, with all rights reserved, unless otherwise noted.